Mohit
Mumbai, Maharashtra, India
Experience: 1 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: Android, AWS, Azure, BigQuery, Blender, C, Docker, GCP, Git, Java, Jenkins, Jira, Jupyter Notebooks, MySQL, NumPy, pandas, Power BI, Python, Python3, Salesforce / Apex, Snowflake, TensorFlow
Previously worked at: IT Service Companies, Product Companies, US-based Companies
Assessment Score: 50
- Educational Background in Data Science and AI
Currently pursuing an M.Sc. in Data Science with a focus on Artificial Intelligence and Machine Learning from the University of Erlangen, Germany, with experience in generative AI methods and multiview 3D reconstruction. Holds a Bachelor’s degree in Computer Science and Engineering. - Over 5 Years of Experience in Machine Learning and Cloud-based CRM
With more than five years of experience in machine learning, data science, and cloud-based CRM analytics, the candidate has successfully integrated AI strategies into business workflows, improving operational efficiency and decision-making for various organizations. - Salesforce Solution Architect at Brose
As a Salesforce Solution Architect at Brose (Feb 2023 – Present), the candidate developed a vision transformer model for anomaly detection in e-bike parts and automated processes, reducing operational costs by approximately €2000 per user annually. - Research Experience in ML and Computer Vision
Conducted significant research as a Machine Learning Research Assistant at the University of Erlangen, where the candidate implemented deep learning models for facial analysis and developed large-scale data processing pipelines using Apache Spark, presenting findings at the ICCV 2023 conference. - Software Development and Data Engineering at Accenture
Worked as a Software Development Analyst and Associate Software Engineer at Accenture (2018-2021), specializing in data modeling, API development, and system integration, as well as managing CI/CD pipelines and version control systems to streamline operations. - Expertise in ML Tools, Data Engineering, and Cloud Platforms
Proficient in using ML frameworks like PyTorch, TensorFlow, and AutoML, and skilled in data engineering tools such as Apache Spark and Databricks. Experienced with cloud platforms including AWS, GCP, and Microsoft Azure, as well as SQL, Python, and Docker for developing scalable solutions.